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https://issues.apache.org/jira/browse/SPARK-2156?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14064965#comment-14064965
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DjvuLee commented on SPARK-2156:
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I see this fixed in the spark branch-0.9 in the github, but does it updated in
the spark v0.9.1 in the http://spark.apache.org/ site?
> When the size of serialized results for one partition is slightly smaller
> than 10MB (the default akka.frameSize), the execution blocks
> --------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-2156
> URL: https://issues.apache.org/jira/browse/SPARK-2156
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 0.9.1, 1.0.0
> Environment: AWS EC2 1 master 2 slaves with the instance type of
> r3.2xlarge
> Reporter: Chen Jin
> Assignee: Xiangrui Meng
> Priority: Blocker
> Fix For: 0.9.2, 1.0.1, 1.1.0
>
> Original Estimate: 504h
> Remaining Estimate: 504h
>
> I have done some experiments when the frameSize is around 10MB .
> 1) spark.akka.frameSize = 10
> If one of the partition size is very close to 10MB, say 9.97MB, the execution
> blocks without any exception or warning. Worker finished the task to send the
> serialized result, and then throw exception saying hadoop IPC client
> connection stops (changing the logging to debug level). However, the master
> never receives the results and the program just hangs.
> But if sizes for all the partitions less than some number btw 9.96MB amd
> 9.97MB, the program works fine.
> 2) spark.akka.frameSize = 9
> when the partition size is just a little bit smaller than 9MB, it fails as
> well.
> This bug behavior is not exactly what spark-1112 is about.
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